IT Operations Automation
Telefónica Spain needed a more accurate and efficient way to plan rural fiber deployments because conventional planning tools struggled to predict optimal routes, physical obstacles, required resources, and realistic costs, which increased planning complexity, human error, and civil-works expense.
Reported impact
Telefónica España says the AI has transformed fiber planning by reducing human error, improving control over cost estimates, optimizing resource allocation, accelerating service availability, and reaching Level 4 autonomy in the fiber planning process, with potential to improve customer response times for deployment-cost inquiries.
Telefónica España implemented an internally developed AI system based on genetic algorithms to automate and improve fiber network planning in rural areas. Planning teams feed the model proportionate geographical coordinates, network design criteria, historical cost information from similar deployments, prior deployment patterns, urban-density context, and information about physical obstacles and reusable infrastructure. The AI evaluates route alternatives, designs an optimal deployment path, and produces preliminary estimates of resources and cost, including the effect of reusing existing assets and minimizing civil works. The resulting plans are consumed by planning and engineering teams early in the project lifecycle to align estimates with execution reality, reduce error, and support more autonomous, data-driven planning under Telefónica's Autonomous Network Journey program. The source does not name a separate storage or serving platform beyond this internal AI workflow.
Planning teams supply geographical coordinates, network design criteria, historical deployment-cost data, obstacle context, urban density, and existing infrastructure information to an internally developed genetic-algorithm AI. The model evaluates route options, estimates resource needs and cost, and returns optimized deployment plans and cost scenarios to Telefónica's planning teams for execution decisions and future customer cost inquiries.
"Telefónica España has achieved level 4 autonomy in the fiber planning process"
"Telefónica Spain has developed an AI based on genetic algorithms, capable of designing optimal deployment routes from proportionate geographical coordinates."
"The integration of this solution into other processes will allow you to respond immediately to customer requests, improving the experience and reducing response times."
"This AI not only calculates the most efficient path, but also estimates the associated cost, considering factors such as the reuse of existing infrastructure and the minimization of civil works."
"the analysis of the historical costs associated with previous deployments in areas with similar characteristics."
"transforming processes, reducing human error and accelerating service availability for customers, as well as optimizing the allocation of resources in fiber deployments in rural areas."
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